Let . Conditioning on the previous state gives , with . Its fixed point is ; subtracting it leaves a geometric recursion. Therefore
For , the identity matrix gives the assertion. Suppose it holds at . Conditioning on the state at time and using the Markov property gives
The nonnegative countable sum is justified by the law of total probability. Induction proves the -step transition matrix is .
Part (b) gives , so and . Independence yields and . Apply part (a) to :
This is a direct Chebyshev inequality for the sample mean.
The joint density of is for positive . Inverting the transformation gives , , with absolute Jacobian determinant and domain , . The change of variables for probability densities gives
The joint density factors into the gamma density of and the uniform density of on , so these two transformed variables are independent.
The derivative of the pair's total angular momentum is , since is parallel to the separation vector. Therefore the combined angular momentum of particles one and two is conserved, despite the possible exchange between them individually.
The third particle is free, so
Thus particle three's angular momentum is conserved.
The Lagrangian is . Away from a collision, its equations of motion are
Summing forces proves conservation of total linear momentum. The total mechanical energy is also conserved: its derivative is , because .
For the first proposed angular momentum,
which need not vanish. Thus particle one's angular momentum about the fixed origin is not generally conserved. Its force is central relative to particle two, not necessarily relative to that origin.
The constraint intersection is nonempty, closed and bounded, hence compact, so extrema exist. The two constraint gradients are and . If the first were times the second, the plane condition would give , so and all coordinates would vanish, contradicting the ellipsoid equation. Their rank is therefore two at every feasible point, justifying the Lagrange multiplier equations.
These equations are
Eliminating gives and . The first equation makes ; subtracting twice the first from the second forces . Hence , and the ellipsoid gives . Thus
All candidates were found, and compactness ensures they include the extrema.
The full-rank constraint qualification gives a multiplier vector such that
Equivalently the gradient of the objective lies in the span of the two constraint gradients. The point also satisfies .

Pinned article: Introduction to the OurBigBook Project

Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
We have two killer features:
  1. topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculus
    Articles of different users are sorted by upvote within each article page. This feature is a bit like:
    • a Wikipedia where each user can have their own version of each article
    • a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
    This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.
    Figure 1.
    Screenshot of the "Derivative" topic page
    . View it live at: ourbigbook.com/go/topic/derivative
  2. local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:
    This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
    Figure 5. . You can also edit articles on the Web editor without installing anything locally.
    Video 3.
    Edit locally and publish demo
    . Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension.
  3. https://raw.githubusercontent.com/ourbigbook/ourbigbook-media/master/feature/x/hilbert-space-arrow.png
  4. Infinitely deep tables of contents:
    Figure 6.
    Dynamic article tree with infinitely deep table of contents
    .
    Descendant pages can also show up as toplevel e.g.: ourbigbook.com/cirosantilli/chordate-subclade
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact